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Cufflinks can and have been worn with tuxedos casual wear, informal attire or business suits, all the way to very dressy styles such as semi-formal (black tie or Stroller), and formal wear (morning dress or white tie), where they become essentially required and are matched with shirt studs. Colorful and whimsical cufflink designs are usually ...
Chicago cops blocked city inspectors from entering a curious “Gift Room” filled with designer bags, Hugo Boss cufflinks, a personalized Mont Blanc pen and other ritzy goodies that were ...
Rotogravure (or gravure for short) is a type of intaglio printing process, which involves engraving the image onto an image carrier. In gravure printing, the image is engraved onto a cylinder because, like offset printing and flexography , it uses a rotary printing press .
Personalized search is a web search tailored specifically to an individual's interests by incorporating information about the individual beyond the specific query provided. There are two general approaches to personalizing search results, involving modifying the user's query and re-ranking search results.
Line engraving is a term for engraved images printed on paper to be used as prints or illustrations. The term is mainly used in connection with 18th- or 19th-century commercial illustrations for magazines and books or reproductions of paintings .
Sub-surface laser engraving is the process of engraving an image in a transparent solid material by focusing a laser below the surface to create small fractures. Such engraved materials are of high-grade optical quality (suitable for lenses, with low dispersion) to minimize distortion of the beam. BK7 glass is a common material for this ...
The lathe is used to engrave images on plates, which are in turn engraved on rolls for such uses as printing banknotes. Another of these tools is the engraving machine. This machine uses a master template to lightly engrave a duplicate image which can be then engraved by hand or etched with acid.
Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.
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